Research Bio
Ryan Tibshirani is a professor in the Department of Statistics. His research interests include high-dimensional statistics, nonparametric estimation, distribution-free inference, probabilistic forecasting machine learning, convex optimization, numerical methods, tracking and forecasting epidemics.
Research Expertise and Interest
statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Teaching
Individual Study Leading to Higher Degrees [STAT 299]
Individual Study Leading to Higher Degrees [STAT 299]
Individual Study Leading to Higher Degrees [STAT 299]
Individual Study Leading to Higher Degrees [STAT 299]